Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
Fragment-based image completion
ACM SIGGRAPH 2003 Papers
ACM SIGGRAPH 2003 Papers
Image completion with structure propagation
ACM SIGGRAPH 2005 Papers
ACM SIGGRAPH 2006 Papers
Image Completion Using Global Optimization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Covariant derivatives and vision
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
Gradient based image completion by solving poisson equation
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
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We propose a novel image in-painting method composed of two parts: band matching and seamless cloning. In band matching, a band enclosing the boundary of a missing region is compared to those from the other parts of the image. The inner area of the minimum difference band is then copied to the missing region. Even though this band matching results in successful inpainting in many practical applications, brightness discontinuity (a seam) may appear between the filled missing region and its neighborhood. We apply seamless-cloning to remove such discontinuity between the two regions. Examples show that this two step approach can provide a very fast and effective image in-painting. However, since this basic method using one patch may not deal with cases where there are abrupt changes of color or brightness along the boundary, we furthermore devise one more step: target sub-division. The target area is subdivided into small sub-areas, and the band matching and seamless cloning is applied to each of them. This sub-division is done also when the missing region is too large or the user wants to see more candidates to choose a better one. The multiple results from the sub-division are then ordered according to in-painting quality, which is measured based the edge map or discontinuity map along the boundary band. Our algorithm is demonstrated with various experiments using real images.